""Unlock the power of statistical learning with "Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning" by Olivier Catoni. This groundbreaking …
This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and …
Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze …
Machine learning, the art of creating applications that learn from experience and data, has been around for many years. However, …
"Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. …
★☆If you are looking to start a new career that is in high demand, then you need to continue reading!★☆ …
I got this book as part of a short course in AI by Negnevitsky that I attended a while back. …
Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation …
A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them.
Take tiny steps to enter the big world of data science through this interesting guide About This Book - Learn …
Take tiny steps to enter the big world of data science through this interesting guide Key Features • Learn the …
Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show …
Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets …
R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in …
There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with …
